SkyRadar Blog

FreeScopes AI 1 equips ATSEP trainees with skills in target detection, data interpretation, and anomaly analysis for effective AI-based air traffic management.

As air traffic control (ATC) systems evolve, the integration of artificial intelligence (AI) is becoming critical to improving efficiency, safety, and decision-making. However, for AI to work effectively in air traffic management (ATM), a centralized data infrastructure and Service Monitoring & Control (SMC)-enabled applications are necessary. These technologies are not just reshaping ATC systems, but they are also transforming the roles and responsibilities of Air Traffic Safety Electronics Personnel (ATSEP). This blog explores the foundational role of centralized data and service-based architectures, and how AI will shape the future of ATSEP in the context of AI-enhanced ATC systems.

As global air traffic continues to increase, the complexity of managing airspace grows more challenging. To address these complexities, Air Traffic Control (ATC) systems are turning to emerging technologies such as Artificial Intelligence (AI), cloud computing, and cybersecurity to maintain safety and efficiency. Integrating these technologies is not just an opportunity—it is a necessity. This article provides an introduction to how AI, supported by robust cloud architecture and underpinned by strong cybersecurity measures, can transform ATC into a more scalable and secure system while ensuring compliance with data privacy regulations.

Artificial intelligence (AI) has significantly transformed many industries, including air traffic management. For Air Traffic Safety Electronics Personnel (ATSEP), AI presents an opportunity to improve daily tasks and processes, boosting efficiency, safety, and reliability. However, this transition necessitates a thoughtful and strategic approach to maintain the integrity of air traffic systems.

Processing errors in AI analytics within air traffic control can jeopardize system accuracy, safety, and efficiency. This article explores causes, impacts, and remedies, emphasizing the need for rigorous testing and human oversight to mitigate risks.

This article sheds light on the potential roles of Artificial Intelligence in improving Cybersecurity in times of data-driven and digitalized Air Traffic Management.

New ATM system generations will be more open and flexible, making them a target for cyber attacks and terrorism. This article discusses solutions for ATSEP basic and on-the-job education on cyber-security.

The ID3 - or ID3 (Iterative Dichotomiser 3) - is a supervised classifier based on decision tree learning methodology. The ID3 classifier generates a decision tree from a set of data (the training data) which can be used to classify new data.

The world is accelerating. Technology is propelling. To stay in the forefront of innovation and the market, companies need to embrace AI, platforms and the crowd. But to be good, they also need to focus on their core competences. So let's team up.